内容正文:
Chapter
Descriptive Statistics
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Copyright 2019, 2015, 2012, Pearson Education, Inc.
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Larson/Farber 6th ed
Chapter 1
Chapter Outline
2.1 Frequency Distributions and Their Graphs
2.2 More Graphs and Displays
2.3 Measures of Central Tendency
2.4 Measures of Variation
2.5 Measures of Position
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Section 2.5
Measures of Position
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Copyright 2019, 2015, 2012, Pearson Education, Inc.
Section 2.5 Objectives
How to find the first, second, and third quartiles of a data set, how to find the interquartile range of a data set, and how to represent a data set graphically using a box-and whisker plot
How to interpret other fractiles such as percentiles and how to find percentiles for a specific data entry
Determine and interpret the standard score (z-score)
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Quartiles
Fractiles are numbers that partition (divide) an ordered data set into equal parts.
Quartiles approximately divide an ordered data set into four equal parts.
First quartile, Q1: About one quarter of the data fall on or below Q1.
Second quartile, Q2: About one half of the data fall on or below Q2 (median).
Third quartile, Q3: About three quarters of the data fall on or below Q3.
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Example: Finding Quartiles
Each year in the U.S., automobile commuters waste fuel due to traffic congestion. The amounts (in gallons per year) of fuel wasted by commuters in the 15 largest U.S. urban areas are listed. Find the first, second, and third quartiles of the data set. What do you observe? (Source: Based on 2015 Urban Mobility Scorecard)
20 30 29 22 25 29 25 24 35 23 25 11 33 28 35
Solution:
Q2 divides the data set into two halves.
11 20 22 23 24 25 25 25 28 29 29 30 33 35 35
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Data entries to the left of Q2
Data entries to the right of Q2
Q2
Q3
Q1
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Solution: Finding